Overview

Dataset statistics

Number of variables20
Number of observations2000
Missing cells0
Missing cells (%)0.0%
Duplicate rows6
Duplicate rows (%)0.3%
Total size in memory312.6 KiB
Average record size in memory160.1 B

Variable types

NUM20

Warnings

Dataset has 6 (0.3%) duplicate rows Duplicates
target has 200 (10.0%) zeros Zeros

Reproduction

Analysis started2020-10-08 14:59:46.386466
Analysis finished2020-10-08 15:01:06.157143
Duration1 minute and 19.77 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

att5
Real number (ℝ≥0)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.300366591
Minimum0.00209035
Maximum0.79648722
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:01:06.262043image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.00209035
5-th percentile0.068881636
Q10.1804207525
median0.28251515
Q30.41329652
95-th percentile0.574727031
Maximum0.79648722
Range0.79439687
Interquartile range (IQR)0.2328757675

Descriptive statistics

Standard deviation0.1562558736
Coefficient of variation (CV)0.5202172222
Kurtosis-0.7034705307
Mean0.300366591
Median Absolute Deviation (MAD)0.11436257
Skewness0.3593458657
Sum600.7331821
Variance0.02441589804
MonotocityNot monotonic
2020-10-08T15:01:06.489441image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.153189920.1%
 
0.4856361220.1%
 
0.2718086720.1%
 
0.2999763520.1%
 
0.2364235520.1%
 
0.2830562420.1%
 
0.1382372910.1%
 
0.3882157610.1%
 
0.0929828810.1%
 
0.1788890410.1%
 
0.4645891610.1%
 
0.6759932810.1%
 
0.3348960110.1%
 
0.3487797410.1%
 
0.2529995610.1%
 
0.2037735610.1%
 
0.3300129710.1%
 
0.292860810.1%
 
0.434958410.1%
 
0.4300340510.1%
 
0.4379058910.1%
 
0.5255345210.1%
 
0.0649539410.1%
 
0.2222575910.1%
 
0.4338434310.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
0.0020903510.1%
 
0.0062914310.1%
 
0.0085635810.1%
 
0.0087965110.1%
 
0.0089650210.1%
 
0.01344810.1%
 
0.0142615710.1%
 
0.0185591110.1%
 
0.0187602110.1%
 
0.018970210.1%
 
ValueCountFrequency (%) 
0.7964872210.1%
 
0.7219108910.1%
 
0.7034271710.1%
 
0.6900775710.1%
 
0.680695510.1%
 
0.6765415810.1%
 
0.6759932810.1%
 
0.6708102210.1%
 
0.6657316410.1%
 
0.6655139510.1%
 

att36
Real number (ℝ≥0)

Distinct1993
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08668581136
Minimum0.00158334
Maximum0.2606909
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:01:06.718996image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.00158334
5-th percentile0.023630396
Q10.0548729225
median0.082496675
Q30.114702715
95-th percentile0.160950811
Maximum0.2606909
Range0.25910756
Interquartile range (IQR)0.0598297925

Descriptive statistics

Standard deviation0.04238861261
Coefficient of variation (CV)0.488991358
Kurtosis0.2456874461
Mean0.08668581136
Median Absolute Deviation (MAD)0.02970217
Skewness0.5365806671
Sum173.3716227
Variance0.001796794479
MonotocityNot monotonic
2020-10-08T15:01:06.949937image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0658986620.1%
 
0.0737610920.1%
 
0.1637386320.1%
 
0.0951875120.1%
 
0.1585596220.1%
 
0.0568221320.1%
 
0.1180520220.1%
 
0.0456551310.1%
 
0.0876282710.1%
 
0.0686862710.1%
 
0.1378413910.1%
 
0.0782903110.1%
 
0.0647950910.1%
 
0.1485966510.1%
 
0.0719074610.1%
 
0.0302260410.1%
 
0.0964753510.1%
 
0.0923833510.1%
 
0.0568632910.1%
 
0.08929310.1%
 
0.0474616410.1%
 
0.0336253110.1%
 
0.0679736610.1%
 
0.1326274710.1%
 
0.0819543610.1%
 
Other values (1968)196898.4%
 
ValueCountFrequency (%) 
0.0015833410.1%
 
0.0030502210.1%
 
0.0032070110.1%
 
0.0042266910.1%
 
0.0042735710.1%
 
0.0044535710.1%
 
0.0051717110.1%
 
0.0056147610.1%
 
0.0056546810.1%
 
0.0057280610.1%
 
ValueCountFrequency (%) 
0.260690910.1%
 
0.2533525910.1%
 
0.2513772310.1%
 
0.2494678210.1%
 
0.2440666610.1%
 
0.2351001110.1%
 
0.2329614610.1%
 
0.2281496810.1%
 
0.2226913310.1%
 
0.2205402310.1%
 

att11
Real number (ℝ≥0)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1571189575
Minimum0.00329301
Maximum0.42363633
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:01:07.371823image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.00329301
5-th percentile0.032770501
Q10.0864012775
median0.14781802
Q30.22128726
95-th percentile0.303427876
Maximum0.42363633
Range0.42034332
Interquartile range (IQR)0.1348859825

Descriptive statistics

Standard deviation0.08634385598
Coefficient of variation (CV)0.549544481
Kurtosis-0.6495090806
Mean0.1571189575
Median Absolute Deviation (MAD)0.06687186
Skewness0.3672433457
Sum314.2379151
Variance0.007455261465
MonotocityNot monotonic
2020-10-08T15:01:07.594746image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.3185392220.1%
 
0.2577769620.1%
 
0.2293195820.1%
 
0.0601019520.1%
 
0.0334059620.1%
 
0.1636463320.1%
 
0.1369886610.1%
 
0.0380603310.1%
 
0.074233310.1%
 
0.1761834110.1%
 
0.023129210.1%
 
0.1129011310.1%
 
0.1177792610.1%
 
0.1015846910.1%
 
0.1729163310.1%
 
0.0421221610.1%
 
0.1275447510.1%
 
0.127639610.1%
 
0.3406648710.1%
 
0.2942400710.1%
 
0.1791964210.1%
 
0.0342378410.1%
 
0.1642458810.1%
 
0.1333510910.1%
 
0.1560074310.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
0.0032930110.1%
 
0.0037641510.1%
 
0.0066624510.1%
 
0.0069861510.1%
 
0.0078146410.1%
 
0.0078701110.1%
 
0.0081469810.1%
 
0.0097383510.1%
 
0.0098674510.1%
 
0.0101524610.1%
 
ValueCountFrequency (%) 
0.4236363310.1%
 
0.4208029210.1%
 
0.4092596410.1%
 
0.4040257310.1%
 
0.3950356710.1%
 
0.3911113710.1%
 
0.3910051910.1%
 
0.3874744910.1%
 
0.3868212210.1%
 
0.3812147210.1%
 

att1
Real number (ℝ≥0)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1855442693
Minimum0.00492771
Maximum0.39577208
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:01:07.852302image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.00492771
5-th percentile0.041750605
Q10.112065635
median0.17609349
Q30.2702900325
95-th percentile0.3265425795
Maximum0.39577208
Range0.39084437
Interquartile range (IQR)0.1582243975

Descriptive statistics

Standard deviation0.09189789571
Coefficient of variation (CV)0.4952882462
Kurtosis-1.068824823
Mean0.1855442693
Median Absolute Deviation (MAD)0.07660881
Skewness0.04657490645
Sum371.0885385
Variance0.008445223236
MonotocityNot monotonic
2020-10-08T15:01:08.088396image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.2577222320.1%
 
0.2959823620.1%
 
0.1342893120.1%
 
0.3781770120.1%
 
0.3115666220.1%
 
0.2715748520.1%
 
0.2896133910.1%
 
0.3164490110.1%
 
0.1266072510.1%
 
0.1838825510.1%
 
0.212707910.1%
 
0.3357504210.1%
 
0.2332881710.1%
 
0.1558650210.1%
 
0.1897255510.1%
 
0.2038740110.1%
 
0.3320810310.1%
 
0.2021298810.1%
 
0.2789194310.1%
 
0.0729894810.1%
 
0.0978969310.1%
 
0.3087907910.1%
 
0.2643830510.1%
 
0.3383010310.1%
 
0.1438778910.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
0.0049277110.1%
 
0.0062762810.1%
 
0.0066464810.1%
 
0.0073113610.1%
 
0.0088916310.1%
 
0.0091474610.1%
 
0.0094367510.1%
 
0.0101388210.1%
 
0.0102382310.1%
 
0.0104881210.1%
 
ValueCountFrequency (%) 
0.3957720810.1%
 
0.3851628610.1%
 
0.3833410510.1%
 
0.3781770120.1%
 
0.3679151310.1%
 
0.3675385610.1%
 
0.3664891710.1%
 
0.3658735110.1%
 
0.3630455410.1%
 
0.3629647410.1%
 

att46
Real number (ℝ≥0)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07813430361
Minimum0.00232565
Maximum0.23181054
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:01:08.329920image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.00232565
5-th percentile0.023254886
Q10.0506415225
median0.074571305
Q30.1009716375
95-th percentile0.148066869
Maximum0.23181054
Range0.22948489
Interquartile range (IQR)0.050330115

Descriptive statistics

Standard deviation0.03755549892
Coefficient of variation (CV)0.480653147
Kurtosis0.05080860277
Mean0.07813430361
Median Absolute Deviation (MAD)0.02524881
Skewness0.5273479812
Sum156.2686072
Variance0.001410415499
MonotocityNot monotonic
2020-10-08T15:01:08.551726image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0307840220.1%
 
0.1536691320.1%
 
0.1599211420.1%
 
0.0815440120.1%
 
0.0803383520.1%
 
0.1565990820.1%
 
0.0607070110.1%
 
0.0817070510.1%
 
0.1701148610.1%
 
0.1710074210.1%
 
0.0889136110.1%
 
0.0863856910.1%
 
0.1478841410.1%
 
0.0835443510.1%
 
0.0992923310.1%
 
0.0218749810.1%
 
0.167846510.1%
 
0.0872086910.1%
 
0.0599643210.1%
 
0.0622588310.1%
 
0.1086988710.1%
 
0.0841081810.1%
 
0.0280468910.1%
 
0.0727331710.1%
 
0.0825354310.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
0.0023256510.1%
 
0.0037479310.1%
 
0.0040580710.1%
 
0.0047424610.1%
 
0.0051923810.1%
 
0.0054998910.1%
 
0.0058398610.1%
 
0.0071291210.1%
 
0.0073716710.1%
 
0.0074514210.1%
 
ValueCountFrequency (%) 
0.2318105410.1%
 
0.2255189110.1%
 
0.2140646710.1%
 
0.2099870510.1%
 
0.2070648910.1%
 
0.1998906310.1%
 
0.1921977810.1%
 
0.1912103610.1%
 
0.1859264910.1%
 
0.1855339810.1%
 

att48
Real number (ℝ≥0)

Distinct1993
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0726558679
Minimum0.00325095
Maximum0.23412151
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:01:08.768404image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.00325095
5-th percentile0.0190912085
Q10.04439662
median0.067617775
Q30.096139885
95-th percentile0.139890229
Maximum0.23412151
Range0.23087056
Interquartile range (IQR)0.051743265

Descriptive statistics

Standard deviation0.0378630906
Coefficient of variation (CV)0.5211291489
Kurtosis0.4811694635
Mean0.0726558679
Median Absolute Deviation (MAD)0.02520972
Skewness0.7064919624
Sum145.3117358
Variance0.00143361363
MonotocityNot monotonic
2020-10-08T15:01:08.989198image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0268936920.1%
 
0.1450588120.1%
 
0.0451443320.1%
 
0.0914989220.1%
 
0.0929469720.1%
 
0.0584730720.1%
 
0.0438203320.1%
 
0.0248827110.1%
 
0.0866356710.1%
 
0.0218626510.1%
 
0.0284859810.1%
 
0.050733910.1%
 
0.1033718210.1%
 
0.0103016610.1%
 
0.082140110.1%
 
0.0958346810.1%
 
0.1264878910.1%
 
0.1382651910.1%
 
0.0278387910.1%
 
0.0679906410.1%
 
0.0592047610.1%
 
0.0285478710.1%
 
0.0309347710.1%
 
0.0487128710.1%
 
0.0475288710.1%
 
Other values (1968)196898.4%
 
ValueCountFrequency (%) 
0.0032509510.1%
 
0.0037583210.1%
 
0.00432210.1%
 
0.0049430910.1%
 
0.0052268310.1%
 
0.0053128110.1%
 
0.005361110.1%
 
0.0054376410.1%
 
0.0058929510.1%
 
0.0060853410.1%
 
ValueCountFrequency (%) 
0.2341215110.1%
 
0.2270163410.1%
 
0.2222896310.1%
 
0.2168417210.1%
 
0.2137040810.1%
 
0.2111575610.1%
 
0.2039951710.1%
 
0.2035111710.1%
 
0.2034089510.1%
 
0.2029318710.1%
 

att66
Real number (ℝ≥0)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1312653263
Minimum0.00377491
Maximum0.3717567
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:01:09.240409image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.00377491
5-th percentile0.0355334515
Q10.08326845
median0.12527872
Q30.170498215
95-th percentile0.2568166565
Maximum0.3717567
Range0.36798179
Interquartile range (IQR)0.087229765

Descriptive statistics

Standard deviation0.06659910986
Coefficient of variation (CV)0.5073625439
Kurtosis0.4957433348
Mean0.1312653263
Median Absolute Deviation (MAD)0.0439125
Skewness0.6654825299
Sum262.5306525
Variance0.004435441434
MonotocityNot monotonic
2020-10-08T15:01:09.473783image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.18541720.1%
 
0.0691339720.1%
 
0.3229828420.1%
 
0.1575677620.1%
 
0.124745120.1%
 
0.0122519120.1%
 
0.0476533310.1%
 
0.0858921610.1%
 
0.1673209810.1%
 
0.1832558310.1%
 
0.0769785110.1%
 
0.1963063710.1%
 
0.0966909510.1%
 
0.1393995410.1%
 
0.1300267310.1%
 
0.0715085710.1%
 
0.0878030610.1%
 
0.149254310.1%
 
0.2986070610.1%
 
0.254441510.1%
 
0.1749227710.1%
 
0.1732027110.1%
 
0.1834621710.1%
 
0.2115253410.1%
 
0.1917972410.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
0.0037749110.1%
 
0.0045813210.1%
 
0.004954110.1%
 
0.0063696310.1%
 
0.0076084810.1%
 
0.0085146410.1%
 
0.0093399310.1%
 
0.011220710.1%
 
0.0113226510.1%
 
0.0115238910.1%
 
ValueCountFrequency (%) 
0.371756710.1%
 
0.3690270610.1%
 
0.3681728410.1%
 
0.3673530710.1%
 
0.3612673210.1%
 
0.3579023110.1%
 
0.3544041410.1%
 
0.3528980710.1%
 
0.3473276310.1%
 
0.3462053310.1%
 

att54
Real number (ℝ≥0)

Distinct1993
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09115354591
Minimum0.00157472
Maximum0.25699967
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:01:09.749895image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.00157472
5-th percentile0.0267021245
Q10.0588510075
median0.086756645
Q30.1187698375
95-th percentile0.1737374145
Maximum0.25699967
Range0.25542495
Interquartile range (IQR)0.05991883

Descriptive statistics

Standard deviation0.04434763241
Coefficient of variation (CV)0.4865157133
Kurtosis0.1402850044
Mean0.09115354591
Median Absolute Deviation (MAD)0.029567685
Skewness0.5776514091
Sum182.3070918
Variance0.0019667125
MonotocityNot monotonic
2020-10-08T15:01:09.999885image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.1521207520.1%
 
0.116729520.1%
 
0.1252243820.1%
 
0.0903469720.1%
 
0.0955573220.1%
 
0.1913950720.1%
 
0.0898800320.1%
 
0.0680747410.1%
 
0.1958989610.1%
 
0.0304073310.1%
 
0.0974927310.1%
 
0.1179531610.1%
 
0.1064346610.1%
 
0.1406426510.1%
 
0.1397286210.1%
 
0.1160097810.1%
 
0.1967493210.1%
 
0.1434220810.1%
 
0.0631488810.1%
 
0.1018919410.1%
 
0.1045598110.1%
 
0.028075310.1%
 
0.1068815410.1%
 
0.1024257710.1%
 
0.0693590210.1%
 
Other values (1968)196898.4%
 
ValueCountFrequency (%) 
0.0015747210.1%
 
0.0020857610.1%
 
0.0022112510.1%
 
0.0032266710.1%
 
0.0050735610.1%
 
0.0058927610.1%
 
0.0066778210.1%
 
0.0070130110.1%
 
0.0074049210.1%
 
0.0082310210.1%
 
ValueCountFrequency (%) 
0.2569996710.1%
 
0.245962910.1%
 
0.2393953910.1%
 
0.2374047210.1%
 
0.2369745610.1%
 
0.2334417310.1%
 
0.2309991110.1%
 
0.2301434510.1%
 
0.225535910.1%
 
0.2251718310.1%
 

att51
Real number (ℝ≥0)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08020043735
Minimum0.00187021
Maximum0.24775746
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:01:10.226594image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.00187021
5-th percentile0.0217705275
Q10.048069015
median0.074399025
Q30.1071167175
95-th percentile0.1558083335
Maximum0.24775746
Range0.24588725
Interquartile range (IQR)0.0590477025

Descriptive statistics

Standard deviation0.04206779335
Coefficient of variation (CV)0.5245332163
Kurtosis0.2595203097
Mean0.08020043735
Median Absolute Deviation (MAD)0.029154565
Skewness0.6765986869
Sum160.4008747
Variance0.001769699238
MonotocityNot monotonic
2020-10-08T15:01:10.625473image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.2125838220.1%
 
0.054299720.1%
 
0.0612668620.1%
 
0.1002154120.1%
 
0.1892718120.1%
 
0.1074414420.1%
 
0.036089810.1%
 
0.0694385210.1%
 
0.0453087910.1%
 
0.1247118910.1%
 
0.0409855410.1%
 
0.0863851510.1%
 
0.0575987110.1%
 
0.0917047910.1%
 
0.066646510.1%
 
0.0602530110.1%
 
0.1822307410.1%
 
0.1699155110.1%
 
0.0159910910.1%
 
0.041727510.1%
 
0.1454847510.1%
 
0.2435071710.1%
 
0.1339610.1%
 
0.0595503310.1%
 
0.0512976110.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
0.0018702110.1%
 
0.0028047610.1%
 
0.0041161710.1%
 
0.0045601110.1%
 
0.0047243610.1%
 
0.0051070210.1%
 
0.0051838610.1%
 
0.0056487810.1%
 
0.0058059110.1%
 
0.0062293210.1%
 
ValueCountFrequency (%) 
0.2477574610.1%
 
0.2435071710.1%
 
0.2416165710.1%
 
0.2294995510.1%
 
0.221428310.1%
 
0.2156377810.1%
 
0.2143618710.1%
 
0.2134598510.1%
 
0.2125838220.1%
 
0.2110027510.1%
 

att29
Real number (ℝ≥0)

Distinct1993
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0921729566
Minimum0.00017629
Maximum0.312097
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:01:10.851419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.00017629
5-th percentile0.024115552
Q10.0540677325
median0.084744615
Q30.120034855
95-th percentile0.187094826
Maximum0.312097
Range0.31192071
Interquartile range (IQR)0.0659671225

Descriptive statistics

Standard deviation0.05172973271
Coefficient of variation (CV)0.5612246218
Kurtosis1.203279802
Mean0.0921729566
Median Absolute Deviation (MAD)0.03254853
Skewness0.9730116825
Sum184.3459132
Variance0.002675965246
MonotocityNot monotonic
2020-10-08T15:01:11.070932image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0709121820.1%
 
0.1697461120.1%
 
0.0752370920.1%
 
0.077182320.1%
 
0.0759217520.1%
 
0.2201026220.1%
 
0.1487333820.1%
 
0.0334896810.1%
 
0.1709225410.1%
 
0.0573102410.1%
 
0.0828828510.1%
 
0.1121993210.1%
 
0.0750935910.1%
 
0.065364110.1%
 
0.0273356410.1%
 
0.1207439910.1%
 
0.0649270310.1%
 
0.1182354710.1%
 
0.0157969710.1%
 
0.0269999910.1%
 
0.1805646610.1%
 
0.1310025510.1%
 
0.0512502310.1%
 
0.1149784810.1%
 
0.0707640710.1%
 
Other values (1968)196898.4%
 
ValueCountFrequency (%) 
0.0001762910.1%
 
0.0016070210.1%
 
0.0023905810.1%
 
0.0026055710.1%
 
0.0042339710.1%
 
0.005032810.1%
 
0.0056408810.1%
 
0.0057478710.1%
 
0.0058181910.1%
 
0.0063991310.1%
 
ValueCountFrequency (%) 
0.31209710.1%
 
0.3098796210.1%
 
0.3056327610.1%
 
0.3024343610.1%
 
0.301678910.1%
 
0.3010892710.1%
 
0.2940401910.1%
 
0.2791628910.1%
 
0.279151710.1%
 
0.2784992710.1%
 

att68
Real number (ℝ≥0)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1284089095
Minimum0.00365267
Maximum0.41878277
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:01:11.310122image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.00365267
5-th percentile0.036619295
Q10.0786667175
median0.121103105
Q30.17152426
95-th percentile0.2431137645
Maximum0.41878277
Range0.4151301
Interquartile range (IQR)0.0928575425

Descriptive statistics

Standard deviation0.06480105313
Coefficient of variation (CV)0.5046460824
Kurtosis0.1583643811
Mean0.1284089095
Median Absolute Deviation (MAD)0.045702665
Skewness0.5870420735
Sum256.817819
Variance0.004199176487
MonotocityNot monotonic
2020-10-08T15:01:11.526356image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.2849049120.1%
 
0.1715242620.1%
 
0.1120437620.1%
 
0.0802602120.1%
 
0.2256337720.1%
 
0.0170037720.1%
 
0.0556522710.1%
 
0.1496738410.1%
 
0.1637442810.1%
 
0.1838018410.1%
 
0.1357960110.1%
 
0.1231220110.1%
 
0.1112615910.1%
 
0.1829823310.1%
 
0.1489119110.1%
 
0.1747035810.1%
 
0.0436718310.1%
 
0.2547784310.1%
 
0.2086970910.1%
 
0.1113432410.1%
 
0.0954994610.1%
 
0.129519210.1%
 
0.1602100510.1%
 
0.158769610.1%
 
0.0714072210.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
0.0036526710.1%
 
0.0040067910.1%
 
0.0052683610.1%
 
0.0057085410.1%
 
0.0094835810.1%
 
0.0097664310.1%
 
0.0097752710.1%
 
0.0105584410.1%
 
0.0105866410.1%
 
0.0115064710.1%
 
ValueCountFrequency (%) 
0.4187827710.1%
 
0.3806268710.1%
 
0.3692436710.1%
 
0.3445591410.1%
 
0.3439514910.1%
 
0.3383235410.1%
 
0.3376164510.1%
 
0.325902810.1%
 
0.3255522410.1%
 
0.3208607510.1%
 

att71
Real number (ℝ≥0)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1499567766
Minimum0.00377982
Maximum0.45628155
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:01:11.757173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.00377982
5-th percentile0.0299166075
Q10.0793867975
median0.137442935
Q30.2054238025
95-th percentile0.318950796
Maximum0.45628155
Range0.45250173
Interquartile range (IQR)0.126037005

Descriptive statistics

Standard deviation0.08826700958
Coefficient of variation (CV)0.5886163438
Kurtosis-0.1215770735
Mean0.1499567766
Median Absolute Deviation (MAD)0.061934085
Skewness0.6470285529
Sum299.9135532
Variance0.00779106498
MonotocityNot monotonic
2020-10-08T15:01:11.966625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.094890320.1%
 
0.2493477120.1%
 
0.2681893620.1%
 
0.2480560420.1%
 
0.0953711620.1%
 
0.251181620.1%
 
0.1412075910.1%
 
0.2895153410.1%
 
0.1158837210.1%
 
0.0943956910.1%
 
0.2567557710.1%
 
0.063791110.1%
 
0.0938627210.1%
 
0.275886110.1%
 
0.352853610.1%
 
0.024919310.1%
 
0.011667110.1%
 
0.073237110.1%
 
0.1128225210.1%
 
0.2135509310.1%
 
0.0494431910.1%
 
0.1784576110.1%
 
0.3441815310.1%
 
0.2014786310.1%
 
0.0648897110.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
0.0037798210.1%
 
0.0044264810.1%
 
0.0047888810.1%
 
0.0050269910.1%
 
0.0050363310.1%
 
0.0067651610.1%
 
0.0073410510.1%
 
0.0074907310.1%
 
0.0080525110.1%
 
0.0082404210.1%
 
ValueCountFrequency (%) 
0.4562815510.1%
 
0.434360610.1%
 
0.4321306310.1%
 
0.4215000110.1%
 
0.4173981710.1%
 
0.4158071110.1%
 
0.4094086210.1%
 
0.4025541410.1%
 
0.4023019710.1%
 
0.4003649910.1%
 

att19
Real number (ℝ≥0)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1193962378
Minimum0.00230379
Maximum0.44011261
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:01:12.190330image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.00230379
5-th percentile0.0301177115
Q10.071987385
median0.112425575
Q30.15569146
95-th percentile0.2348399345
Maximum0.44011261
Range0.43780882
Interquartile range (IQR)0.083704075

Descriptive statistics

Standard deviation0.06494074547
Coefficient of variation (CV)0.5439094786
Kurtosis1.99492262
Mean0.1193962378
Median Absolute Deviation (MAD)0.04101489
Skewness1.029985535
Sum238.7924757
Variance0.004217300422
MonotocityNot monotonic
2020-10-08T15:01:12.403296image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0983768420.1%
 
0.1341865820.1%
 
0.2040326220.1%
 
0.0825595220.1%
 
0.2333615520.1%
 
0.1160773820.1%
 
0.0445758210.1%
 
0.1462146810.1%
 
0.1677372910.1%
 
0.0795461710.1%
 
0.1588035610.1%
 
0.036210210.1%
 
0.1394065510.1%
 
0.0918264810.1%
 
0.1301427810.1%
 
0.1023319210.1%
 
0.1508488410.1%
 
0.0774816410.1%
 
0.0521697110.1%
 
0.0372052610.1%
 
0.0794521810.1%
 
0.0897979310.1%
 
0.0960285910.1%
 
0.135838410.1%
 
0.0803137210.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
0.0023037910.1%
 
0.0048600210.1%
 
0.0060552410.1%
 
0.0068230710.1%
 
0.0076910910.1%
 
0.0080833110.1%
 
0.0097397210.1%
 
0.0098501210.1%
 
0.0098773310.1%
 
0.0102032810.1%
 
ValueCountFrequency (%) 
0.4401126110.1%
 
0.4107532910.1%
 
0.4095627410.1%
 
0.4072308710.1%
 
0.4056033610.1%
 
0.4023302510.1%
 
0.396590610.1%
 
0.3956632110.1%
 
0.393754910.1%
 
0.3890132210.1%
 

att13
Real number (ℝ≥0)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.164245782
Minimum0.00142364
Maximum0.47188111
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:01:12.651067image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.00142364
5-th percentile0.0325149005
Q10.089438945
median0.156005215
Q30.233350665
95-th percentile0.31833502
Maximum0.47188111
Range0.47045747
Interquartile range (IQR)0.14391172

Descriptive statistics

Standard deviation0.09122333959
Coefficient of variation (CV)0.5554075027
Kurtosis-0.604041187
Mean0.164245782
Median Absolute Deviation (MAD)0.07079314
Skewness0.3867834768
Sum328.4915639
Variance0.008321697686
MonotocityNot monotonic
2020-10-08T15:01:12.878399image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.2095378720.1%
 
0.2501268520.1%
 
0.1879635620.1%
 
0.1554907320.1%
 
0.3125557320.1%
 
0.0621731220.1%
 
0.2587048910.1%
 
0.1522653310.1%
 
0.0375553610.1%
 
0.0714703510.1%
 
0.0901270210.1%
 
0.0942644310.1%
 
0.0810804710.1%
 
0.0758716210.1%
 
0.1804751910.1%
 
0.1800049310.1%
 
0.0397413110.1%
 
0.2740940510.1%
 
0.0772218510.1%
 
0.2527050910.1%
 
0.1390760810.1%
 
0.2818517510.1%
 
0.1803615810.1%
 
0.0760510210.1%
 
0.1124949710.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
0.0014236410.1%
 
0.0024114210.1%
 
0.0046167410.1%
 
0.0052632610.1%
 
0.0059997110.1%
 
0.0069247310.1%
 
0.0077414310.1%
 
0.0085511410.1%
 
0.0094733410.1%
 
0.0099927910.1%
 
ValueCountFrequency (%) 
0.4718811110.1%
 
0.4604872210.1%
 
0.4447986810.1%
 
0.4320409810.1%
 
0.4182092110.1%
 
0.4172757510.1%
 
0.4113962510.1%
 
0.4113502210.1%
 
0.4100714110.1%
 
0.4061134410.1%
 

att59
Real number (ℝ≥0)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09047379155
Minimum0.00173879
Maximum0.26816983
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:01:13.116292image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.00173879
5-th percentile0.0215005995
Q10.0518622375
median0.0835039
Q30.1236326925
95-th percentile0.181056307
Maximum0.26816983
Range0.26643104
Interquartile range (IQR)0.071770455

Descriptive statistics

Standard deviation0.04855415305
Coefficient of variation (CV)0.5366653948
Kurtosis-0.2128738272
Mean0.09047379155
Median Absolute Deviation (MAD)0.034536905
Skewness0.54623049
Sum180.9475831
Variance0.002357505779
MonotocityNot monotonic
2020-10-08T15:01:13.358084image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0232128820.1%
 
0.0880209520.1%
 
0.1275266920.1%
 
0.1815276420.1%
 
0.1615301620.1%
 
0.0972862120.1%
 
0.0361372210.1%
 
0.1100057810.1%
 
0.170914810.1%
 
0.1074461410.1%
 
0.1023960810.1%
 
0.1783930910.1%
 
0.1050642910.1%
 
0.0093472410.1%
 
0.0628806310.1%
 
0.0378863410.1%
 
0.0609856210.1%
 
0.0568563210.1%
 
0.0675325310.1%
 
0.0783608810.1%
 
0.1068325710.1%
 
0.0223085610.1%
 
0.071601210.1%
 
0.1410487410.1%
 
0.1288357810.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
0.0017387910.1%
 
0.0036955110.1%
 
0.0043391610.1%
 
0.0044819610.1%
 
0.0046860610.1%
 
0.0049250810.1%
 
0.0050945610.1%
 
0.0059208610.1%
 
0.0065745910.1%
 
0.0069782510.1%
 
ValueCountFrequency (%) 
0.2681698310.1%
 
0.2661474410.1%
 
0.2491293210.1%
 
0.2465072210.1%
 
0.2338005210.1%
 
0.230773310.1%
 
0.2276225110.1%
 
0.2275379610.1%
 
0.2274591610.1%
 
0.2270682610.1%
 

att34
Real number (ℝ≥0)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08297373781
Minimum0.00256918
Maximum0.31466858
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:01:13.746143image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.00256918
5-th percentile0.0225200915
Q10.0510748575
median0.077458395
Q30.10770552
95-th percentile0.1644904605
Maximum0.31466858
Range0.3120994
Interquartile range (IQR)0.0566306625

Descriptive statistics

Standard deviation0.04406113544
Coefficient of variation (CV)0.5310250762
Kurtosis1.212847316
Mean0.08297373781
Median Absolute Deviation (MAD)0.028256435
Skewness0.8800037469
Sum165.9474756
Variance0.001941383656
MonotocityNot monotonic
2020-10-08T15:01:13.970029image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0520577820.1%
 
0.0610643120.1%
 
0.0584063620.1%
 
0.0622018720.1%
 
0.1030616620.1%
 
0.1632492120.1%
 
0.0462489710.1%
 
0.0721054410.1%
 
0.1003812710.1%
 
0.0743196510.1%
 
0.080261810.1%
 
0.0469759210.1%
 
0.0705073910.1%
 
0.0536669410.1%
 
0.0108549610.1%
 
0.0856478510.1%
 
0.100226510.1%
 
0.0295495210.1%
 
0.0645452110.1%
 
0.0832854610.1%
 
0.1120890510.1%
 
0.0808955410.1%
 
0.0784817810.1%
 
0.0921213210.1%
 
0.1070509610.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
0.0025691810.1%
 
0.0026939910.1%
 
0.0031550210.1%
 
0.0032977410.1%
 
0.0045875710.1%
 
0.0045945110.1%
 
0.0048592510.1%
 
0.0048959310.1%
 
0.0057710910.1%
 
0.0064484310.1%
 
ValueCountFrequency (%) 
0.3146685810.1%
 
0.2777670610.1%
 
0.2723102810.1%
 
0.2653958910.1%
 
0.2622432210.1%
 
0.2475297310.1%
 
0.2451766310.1%
 
0.2379403110.1%
 
0.2362936810.1%
 
0.2336649610.1%
 

att10
Real number (ℝ≥0)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1517155539
Minimum0.00234154
Maximum0.58494186
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:01:14.210426image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.00234154
5-th percentile0.036635492
Q10.0849203
median0.13659515
Q30.2022550625
95-th percentile0.321558864
Maximum0.58494186
Range0.58260032
Interquartile range (IQR)0.1173347625

Descriptive statistics

Standard deviation0.08722397092
Coefficient of variation (CV)0.5749177896
Kurtosis0.1032189062
Mean0.1517155539
Median Absolute Deviation (MAD)0.057390005
Skewness0.7355033631
Sum303.4311079
Variance0.007608021104
MonotocityNot monotonic
2020-10-08T15:01:14.426206image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0934076120.1%
 
0.308183620.1%
 
0.1491616120.1%
 
0.110963820.1%
 
0.3044523420.1%
 
0.0869474920.1%
 
0.1511453110.1%
 
0.0760757410.1%
 
0.0720427510.1%
 
0.1311010410.1%
 
0.22021110.1%
 
0.1595155610.1%
 
0.0580699810.1%
 
0.210697810.1%
 
0.0472570510.1%
 
0.1967262210.1%
 
0.0361391610.1%
 
0.1805295210.1%
 
0.2780347910.1%
 
0.1924513210.1%
 
0.1180577210.1%
 
0.0824749810.1%
 
0.1739901410.1%
 
0.1101438110.1%
 
0.0500069910.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
0.0023415410.1%
 
0.0034712610.1%
 
0.0064130310.1%
 
0.0064993910.1%
 
0.0075193410.1%
 
0.0077334410.1%
 
0.0081614510.1%
 
0.0087576510.1%
 
0.0112779910.1%
 
0.0113880910.1%
 
ValueCountFrequency (%) 
0.5849418610.1%
 
0.4496001610.1%
 
0.4260988510.1%
 
0.4199891810.1%
 
0.4089511110.1%
 
0.3949809210.1%
 
0.394634410.1%
 
0.3939884810.1%
 
0.3918478710.1%
 
0.3914201210.1%
 

att6
Real number (ℝ≥0)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1583138707
Minimum0.00267619
Maximum0.48334174
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:01:14.664146image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.00267619
5-th percentile0.0280846265
Q10.0934888575
median0.149465895
Q30.2108167175
95-th percentile0.329407338
Maximum0.48334174
Range0.48066555
Interquartile range (IQR)0.11732786

Descriptive statistics

Standard deviation0.08902186855
Coefficient of variation (CV)0.562312501
Kurtosis0.2291304264
Mean0.1583138707
Median Absolute Deviation (MAD)0.058210615
Skewness0.6456652096
Sum316.6277413
Variance0.00792489308
MonotocityNot monotonic
2020-10-08T15:01:14.905676image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.1264285620.1%
 
0.143095220.1%
 
0.1601980920.1%
 
0.1034149120.1%
 
0.1873953820.1%
 
0.2475166120.1%
 
0.0684798710.1%
 
0.1880370810.1%
 
0.2354788710.1%
 
0.2332431210.1%
 
0.1106198710.1%
 
0.1898744910.1%
 
0.1688484410.1%
 
0.1877298110.1%
 
0.1235177310.1%
 
0.0432215710.1%
 
0.1042294510.1%
 
0.0720789410.1%
 
0.3058245110.1%
 
0.0974281810.1%
 
0.0154671410.1%
 
0.1746890710.1%
 
0.1441683210.1%
 
0.157601410.1%
 
0.0874563710.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
0.0026761910.1%
 
0.0027842710.1%
 
0.0030542210.1%
 
0.0041198310.1%
 
0.0041852410.1%
 
0.0045525710.1%
 
0.0046887110.1%
 
0.0061974110.1%
 
0.0062509110.1%
 
0.007271310.1%
 
ValueCountFrequency (%) 
0.4833417410.1%
 
0.4799132510.1%
 
0.4709705910.1%
 
0.4681429810.1%
 
0.4527145110.1%
 
0.4486684110.1%
 
0.4390202110.1%
 
0.4283058210.1%
 
0.4263209210.1%
 
0.4255163210.1%
 

att35
Real number (ℝ≥0)

Distinct1994
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09123026692
Minimum0.00396516
Maximum0.27889178
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-10-08T15:01:15.129375image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.00396516
5-th percentile0.025218357
Q10.059659505
median0.088910165
Q30.118911735
95-th percentile0.1658269825
Maximum0.27889178
Range0.27492662
Interquartile range (IQR)0.05925223

Descriptive statistics

Standard deviation0.0424745198
Coefficient of variation (CV)0.4655748715
Kurtosis0.0174035756
Mean0.09123026692
Median Absolute Deviation (MAD)0.02961216
Skewness0.394082788
Sum182.4605338
Variance0.001804084832
MonotocityNot monotonic
2020-10-08T15:01:15.337660image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.1148054520.1%
 
0.0497478620.1%
 
0.0738501320.1%
 
0.0320582520.1%
 
0.1025029520.1%
 
0.1125035220.1%
 
0.1722112810.1%
 
0.0817425710.1%
 
0.0347255310.1%
 
0.0584014110.1%
 
0.0769055610.1%
 
0.1301960510.1%
 
0.1073245610.1%
 
0.080274210.1%
 
0.1706723510.1%
 
0.0593203910.1%
 
0.0981192910.1%
 
0.1151934110.1%
 
0.0386237410.1%
 
0.1536887310.1%
 
0.1735832210.1%
 
0.131411310.1%
 
0.1714932810.1%
 
0.1338500310.1%
 
0.071818910.1%
 
Other values (1969)196998.5%
 
ValueCountFrequency (%) 
0.0039651610.1%
 
0.004318210.1%
 
0.0049014310.1%
 
0.004964910.1%
 
0.0058864810.1%
 
0.0062031810.1%
 
0.0062706710.1%
 
0.0072290610.1%
 
0.0082026410.1%
 
0.0084266210.1%
 
ValueCountFrequency (%) 
0.2788917810.1%
 
0.2549179610.1%
 
0.2383081110.1%
 
0.2282881810.1%
 
0.2282875310.1%
 
0.2248365210.1%
 
0.2202278810.1%
 
0.2199310110.1%
 
0.2150839810.1%
 
0.2150544510.1%
 

target
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5
Minimum0
Maximum9
Zeros200
Zeros (%)10.0%
Memory size15.8 KiB
2020-10-08T15:01:15.534370image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4.5
Q37
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.872999663
Coefficient of variation (CV)0.6384443696
Kurtosis-1.224302538
Mean4.5
Median Absolute Deviation (MAD)2.5
Skewness0
Sum9000
Variance8.254127064
MonotocityIncreasing
2020-10-08T15:01:15.682466image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
920010.0%
 
820010.0%
 
720010.0%
 
620010.0%
 
520010.0%
 
420010.0%
 
320010.0%
 
220010.0%
 
120010.0%
 
020010.0%
 
ValueCountFrequency (%) 
020010.0%
 
120010.0%
 
220010.0%
 
320010.0%
 
420010.0%
 
520010.0%
 
620010.0%
 
720010.0%
 
820010.0%
 
920010.0%
 
ValueCountFrequency (%) 
920010.0%
 
820010.0%
 
720010.0%
 
620010.0%
 
520010.0%
 
420010.0%
 
320010.0%
 
220010.0%
 
120010.0%
 
020010.0%
 

Interactions

2020-10-08T14:59:48.271095image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:48.655763image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:48.856759image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:49.053765image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:49.273688image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:49.468661image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:49.698807image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:49.917419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:50.126132image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:50.330519image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:50.568373image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:50.761914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:50.956918image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:51.171528image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:51.370164image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:51.572424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:51.783584image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:51.987103image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:52.190368image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:52.391278image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:52.612814image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:52.834003image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:53.038947image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:53.216287image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:53.408973image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:53.592721image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:53.771423image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:53.963758image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:54.147334image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:54.503717image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:54.699174image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:54.894675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:55.077251image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:55.263806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:55.440011image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:55.647860image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:55.860446image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:56.057477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:56.275872image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:56.464318image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:56.638869image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:56.828534image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:57.004371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:57.175075image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:57.364488image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:57.540919image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:57.727159image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:57.916129image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:58.092678image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:58.268301image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:58.446048image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:58.613430image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:58.805234image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:58.969655image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:59.137044image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:59.311919image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:59.506197image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:59.702184image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T14:59:59.873417image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:00.218125image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:00.386220image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:00.598928image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:00.807834image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:01.012955image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:01.232928image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:01.429733image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:01.626184image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:01.849585image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:02.052538image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:02.258629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:02.478119image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:02.674779image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:02.887242image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:03.083335image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:03.281250image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:03.484510image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:03.722619image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:03.931389image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:04.153925image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:04.394419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:04.586618image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:04.774608image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:04.969813image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:05.153077image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:05.348274image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:05.518211image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:05.686641image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:06.041238image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:06.213458image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:06.386367image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:06.567500image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:06.748323image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:06.920912image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:07.087646image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:07.254702image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:07.428500image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:07.612135image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:07.794264image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:08.000330image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:08.192281image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:08.362756image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:08.549786image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:08.722974image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:08.900707image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:09.090355image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:09.257739image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:09.427045image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:09.617069image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:09.794776image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:09.966984image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:10.146048image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:10.325144image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:10.490211image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:10.657243image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:10.825445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:11.005264image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:11.197561image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:11.580832image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:11.751675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:11.925139image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:12.090527image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:12.299285image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:12.497269image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:12.691347image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:12.900700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-10-08T15:00:52.120520image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:52.301203image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:52.488081image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:52.667684image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:52.860080image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:53.054625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:53.248746image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:53.433239image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:53.619668image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:53.801278image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:53.993117image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:54.174347image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:54.349036image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:54.544213image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:54.719494image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:54.912975image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:55.104871image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:55.286719image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:55.468443image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:55.653447image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:55.844611image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:56.030850image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:56.385653image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:56.568634image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:56.765308image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:56.952142image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:57.135170image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:57.317324image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:57.497135image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:57.670621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:57.866431image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:58.048175image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:58.221999image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:58.419055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:58.590395image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:58.773950image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:58.971806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:59.157979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:59.338053image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:59.530116image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:59.711931image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:00:59.889179image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:00.067360image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:00.247337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:00.429378image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:00.622103image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:00.809621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:01.003516image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:01.183706image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:01.357495image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:01.541662image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:01.711059image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:02.047813image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:02.235710image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:02.405606image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:02.578134image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:02.775491image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:02.961910image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:03.150826image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:03.338825image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:03.505883image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:03.680465image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:03.855890image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:04.043753image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:04.225728image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:04.421592image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:04.615957image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:04.792272image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:04.964289image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2020-10-08T15:01:15.901654image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-10-08T15:01:16.354812image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-10-08T15:01:16.785987image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-10-08T15:01:17.246223image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-10-08T15:01:05.325485image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-08T15:01:05.952296image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Sample

First rows

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10.5992800.0972090.0171840.0491420.0726330.0404130.1315520.1174190.0882770.1448670.0693370.0454470.2348760.0129040.0548840.0548960.0596610.0412170.0886780
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30.5463160.0885680.0369310.0623360.0192680.0444080.1658060.0170550.0672120.0342700.0854790.0759500.0566700.0514250.0819410.1560050.1190520.0457790.0185230
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50.5155680.0903190.0647590.0681590.0554340.0446160.2062240.0696000.1062870.0714220.0427220.0280590.0554540.0576120.0764750.0662020.1774760.0369700.0706210
60.5936490.0498440.1169380.0887070.0702410.1113340.1189380.1102290.0758240.0534810.0766170.0533270.0491540.1220710.1117770.0792800.0836690.0594160.0828390
70.6479930.0550440.0833720.0749730.0499100.0717950.0202130.0451760.0577420.1038690.2457690.0268330.1618060.1386640.1305650.0322380.0282980.0718310.0487100
80.5793270.0526580.0879230.0591080.0132110.0441200.1370980.0670530.0064640.1028780.0717130.0129970.0739520.0544540.0225930.0232110.0964140.0321590.0616260
90.4811880.0073980.0069860.0122370.0905320.0455160.1968160.0733140.0234530.0869540.1037150.0512030.0783600.0332800.0345790.0637420.1823010.0238980.0762220

Last rows

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19920.2159690.1368760.1631540.0844510.1011930.0423050.0609590.0923090.1275050.1412040.1165710.0499350.1976320.0889280.0502940.0880640.2189630.2583080.1618179
19930.2834910.0884730.0289410.1594150.0666910.0600330.1199960.0335300.0403630.0982090.1439650.2255150.0646330.1801090.0947760.0572400.1620450.1511900.0847719
19940.1991720.1240260.1367320.2089600.0554380.0458330.0192290.1157750.0597820.0736990.2547780.2529270.0902530.1379680.0643690.0343830.1810420.2164280.1056869
19950.2644130.0881870.2859300.1718740.0270190.1048690.0460330.0820070.0322450.1364180.1974400.1388870.0125410.0407840.1498710.1643260.0818890.2202740.0236029
19960.4270770.0721700.2603560.1520250.0727690.0820370.1724470.0779040.0554830.0495010.1616060.2952270.0760260.0972860.1359550.0486120.1243910.3136560.1101849
19970.4177690.0741870.2365540.3356060.0681340.1045430.2605530.0636980.0730420.1158360.1216590.1328930.1576260.2434480.0805420.0262330.0795500.1230670.1133099
19980.3263830.1326100.1384910.2539100.0258090.1037180.0939530.1318840.1043140.1784040.1681540.1991250.0839870.2749870.1639140.0575510.0971310.1679600.1019579
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Duplicate rows

Most frequent

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10.2364240.0951880.0601020.2715750.0307840.0584730.0122520.0898800.0543000.0752370.2256340.2511820.0983770.2501270.0232130.0584060.1491620.1873950.11250492
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50.4856360.1585600.3185390.3781770.1536690.0268940.3229830.1252240.1074410.1697460.1120440.0953710.2333620.1879640.0880210.0520580.1109640.1034150.07385062